AllianceBernstein
AVP/Quantitative Researcher
United Kingdom · Work style not stated · Full time
Apply on the employer’s site ↗See how well you match this job
You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.
About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerAllianceBernstein
- LocationUnited Kingdom
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
Who You’ll Work With
AllianceBernstein’s Systematic Fixed Income team develops and manages cutting-edge, high-performance, fully systematic, factor-driven fixed-income portfolios.
What You’ll Do
We are seeking a quantitative researcher focused on systematic fixed-income and credit strategies to join our London office. The successful candidate will collaborate with colleagues across the investment process and contribute to the development, implementation, and management of systematic strategies within AllianceBernstein’s Fixed Income division.
Responsibilities include, but are not limited to:
- Developing and evaluating systematic investment strategies through simulations, backtesting, and strategy analysis.
- Working on portfolio optimization, data science, and quantitative research problems.
- Conducting factor discovery, factor return analysis, and risk attribution.
- Contributing to our quantitative research environment, abAlphaLabs, a Python-based research platform.
- Taking a hands-on role in the management and ongoing enhancement of systematic fixed-income strategies.
Show full description
What We’re Looking For
The ideal candidate will have:
- An advanced degree in Finance, Financial Engineering, Mathematics, Computer Science, Operations Research, Economics, Electrical Engineering, or a related field.
- Strong Python programming skills and deep familiarity with the Python ecosystem.
- Experience working with SQL databases.
- Excellent attention to detail, a strong focus on quality, and the ability to take ownership of projects.
- Knowledge of fixed-income securities and markets, which is preferred but not required.
- Deep desire to understand and outperform the markets.
- Data science and machine learning skills are a strong plus.
- Exposure to modern development and operations tools, such as Airflow, Kubernetes, or similar technologies, is a plus.
Prior fixed-income trading or portfolio management experience is not required.
London, UK
Check your resume against this job Free, no sign-up. Nothing you paste is stored.
Staying safe while you apply
- Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
- Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
- Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.
Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.
Preparing for this role with ROLIVA
- Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
- Prepare honestly.
Build interview stories and application drafts from your own evidence.
- Keep track.
Save the role and record your own application status and follow-ups.
At a glance
- Employment typeFull time
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.